by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Blockchain in 2035: My Predictions as a Technology Futurist
Opening Summary
According to the World Economic Forum, blockchain technology is projected to store 10% of global GDP by 2027. That’s a staggering statistic that I often share with the Fortune 500 executives I work with, because it underscores the monumental shift we’re witnessing. In my consulting work with global organizations, I’ve seen blockchain evolve from a cryptocurrency curiosity to a foundational technology that’s reshaping entire industries. We’re moving beyond the hype cycle into practical implementation, and what excites me most is how blockchain is becoming the invisible infrastructure that powers trust, transparency, and efficiency across global systems. The current state reminds me of the early internet days – we know something transformative is happening, but we’re only beginning to understand the full implications. As organizations grapple with digital transformation, blockchain represents one of the most significant opportunities for creating competitive advantage in the coming decade.
Main Content: Top Three Business Challenges
Challenge 1: Integration Complexity and Legacy System Compatibility
The single biggest challenge I observe in my work with enterprise clients is the sheer complexity of integrating blockchain with existing legacy systems. According to Deloitte’s 2023 Global Blockchain Survey, 55% of executives cite integration with existing systems as their primary barrier to blockchain adoption. I’ve consulted with financial institutions where the technical debt of decades-old systems creates almost insurmountable obstacles. The reality is that blockchain doesn’t operate in isolation – it needs to connect with CRM systems, ERP platforms, supply chain management tools, and countless other enterprise applications. What makes this particularly challenging is that many organizations are trying to retrofit blockchain solutions into architectures that were never designed for distributed ledger technology. The result is often compromised implementations that fail to deliver the full value proposition of blockchain.
Challenge 2: Regulatory Uncertainty and Compliance Hurdles
As noted by Harvard Business Review, the regulatory landscape for blockchain remains fragmented and uncertain across most jurisdictions. In my strategic foresight work with government agencies and multinational corporations, I’ve seen how regulatory ambiguity creates significant hesitation in blockchain investment. Different countries have varying approaches to data privacy, smart contract enforcement, and digital asset classification. This creates a compliance nightmare for organizations operating across borders. The European Union’s MiCA regulation represents progress, but globally, we’re still in the early stages of regulatory maturity. What concerns me most is that this uncertainty leads to risk-averse decision-making, where organizations choose simpler, less transformative solutions rather than pushing the boundaries of what blockchain can achieve.
Challenge 3: Talent Gap and Organizational Readiness
According to PwC’s Global Blockchain Survey, 84% of organizations are actively involved with blockchain, yet 45% cite talent shortage as a major barrier to adoption. In my leadership workshops, I consistently see organizations struggling to find professionals who understand both the technical aspects of blockchain and the business applications. This isn’t just about finding developers who can write smart contracts – it’s about developing leaders who can envision how blockchain transforms business models, operations, and customer experiences. The talent gap extends beyond technical skills to include strategic thinking, change management, and ecosystem development. Organizations that fail to address this talent challenge will find themselves playing catch-up as blockchain becomes more deeply embedded in business operations.
Solutions and Innovations
The good news is that innovative solutions are emerging to address these challenges. In my work with forward-thinking organizations, I’m seeing several approaches that are delivering real results.
Blockchain-as-a-Service Platforms
First, we’re seeing the rise of blockchain-as-a-service platforms from major cloud providers like Microsoft Azure and Amazon Web Services. These platforms significantly reduce integration complexity by providing pre-built connectors and standardized APIs. I recently advised a manufacturing client that used Azure’s blockchain service to integrate their supply chain tracking system in weeks rather than months.
Regulatory Technology Solutions
Second, regulatory technology solutions are maturing rapidly. Companies like Chainalysis and Elliptic are providing tools that help organizations maintain compliance across jurisdictions. These solutions use AI and machine learning to monitor transactions and ensure regulatory adherence, which is particularly crucial in financial services and healthcare applications.
Interoperability Protocols
Third, we’re seeing the emergence of interoperability protocols that enable different blockchain networks to communicate with each other. Projects like Polkadot and Cosmos are creating the foundation for a multi-chain future where organizations can choose the right blockchain for specific use cases without creating data silos.
Talent Development Programs
Fourth, educational institutions and corporate training programs are beginning to address the talent gap. Universities like MIT and Stanford now offer specialized blockchain programs, while companies like IBM and ConsenSys have developed comprehensive training curricula. In my consulting practice, I help organizations create future-ready talent development strategies that include blockchain literacy at all leadership levels.
The Future: Projections and Forecasts
Looking ahead, the data paints a compelling picture of blockchain’s growth trajectory. According to McKinsey & Company, blockchain could generate $1.76 trillion in business value by 2030 through improved efficiency, reduced fraud, and new business models. In my foresight exercises with executive teams, I project several key developments that will shape the next decade.
Digital Identity Management (2026)
By 2026, I expect we’ll see blockchain become the standard infrastructure for digital identity management. Gartner predicts that by 2025, at least one major government will use blockchain for citizen identity, creating a domino effect across other nations and industries.
Decentralized Autonomous Organizations (2027-2030)
Between 2027-2030, I anticipate the emergence of truly decentralized autonomous organizations that operate without traditional corporate structures. These DAOs will leverage smart contracts for governance, compensation, and decision-making, fundamentally challenging how we think about organizational design.
Global Supply Chain Transformation (2035)
By 2035, I project that blockchain will underpin most global supply chains, providing unprecedented transparency from raw materials to end consumers. Accenture estimates this could reduce supply chain fraud by up to 50% while improving efficiency by 30%.
Central Bank Digital Currencies
The financial services transformation will accelerate dramatically. According to the World Economic Forum, central bank digital currencies built on blockchain infrastructure could represent 20% of all circulating currency by 2030. This represents one of the most significant shifts in monetary policy in modern history.
Healthcare Applications
In healthcare, blockchain will enable secure, interoperable health records that follow patients across providers and jurisdictions. IDC forecasts that 20% of healthcare organizations will use blockchain for supply chain management and patient data security by 2025.
Final Take: 10-Year Outlook
Over the next decade, blockchain will transition from experimental technology to essential infrastructure. The organizations that thrive will be those that approach blockchain not as a standalone solution but as part of a broader digital transformation strategy. We’ll see the emergence of blockchain-native business models that were previously impossible, particularly in areas like decentralized finance, tokenized assets, and transparent supply chains. The risks are significant – regulatory missteps, security vulnerabilities, and implementation failures could derail progress. However, the opportunities for creating more efficient, transparent, and equitable systems are transformative. Organizations that build blockchain capability today will be positioned to lead in the decentralized economy of tomorrow.
Ian Khan’s Closing
In my work with leaders worldwide, I’ve learned that the future belongs to those who prepare for it today. Blockchain represents one of the most significant technological shifts of our lifetime, and its potential to create trust in a distrustful world is nothing short of revolutionary. As I often tell my clients, “The blockchain revolution isn’t coming – it’s already here, and the question isn’t whether you’ll participate, but whether you’ll lead or follow.”
To dive deeper into the future of Blockchain and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Protecting Children from Online Harm in 2035: My Predictions as a Technology Futurist
Opening Summary
According to UNICEF, one in three internet users worldwide is a child, and they’re facing unprecedented risks in digital environments that were never designed with their safety in mind. I’ve consulted with global technology companies and government agencies on digital safety, and what I’ve seen keeps me up at night. The current state of child online protection is fragmented, reactive, and struggling to keep pace with rapidly evolving threats. The World Economic Forum reports that cyber threats targeting children have increased by 400% since 2019, creating an urgent need for systemic solutions. In my work with Fortune 500 companies developing digital platforms, I’ve witnessed firsthand how traditional safety measures are being overwhelmed by the scale and sophistication of modern threats. We’re at a critical inflection point where the very architecture of online safety needs reinvention. The transformation ahead isn’t just about better filters or more monitoring—it’s about rebuilding our digital world from the ground up with child safety as a foundational principle rather than an afterthought.
Main Content: Top Three Business Challenges
Challenge 1: The Scale and Velocity of Digital Threats
The sheer volume of digital content and interactions makes traditional monitoring approaches obsolete. As noted by McKinsey & Company, the global internet generates over 2.5 quintillion bytes of data daily, creating an environment where harmful content can spread faster than protective measures can respond. I’ve worked with social media platforms where human moderators review thousands of pieces of content daily, yet they’re still missing critical threats. The Harvard Business Review highlights that current AI detection systems have false positive rates as high as 30%, meaning they either miss dangerous content or flag harmless interactions. The business impact is staggering—companies face regulatory fines, reputational damage, and loss of user trust when protection systems fail. What I’ve observed in my consulting is that organizations are spending millions on reactive solutions rather than investing in proactive, architectural approaches to safety.
Challenge 2: Privacy vs. Protection Dilemma
There’s an inherent tension between protecting children’s privacy and ensuring their safety online. Deloitte research shows that 78% of parents are concerned about both their children’s online safety and their data privacy, creating a complex balancing act for technology providers. In my work with educational technology companies, I’ve seen how privacy regulations like COPPA and GDPR create compliance challenges while potentially limiting the effectiveness of safety measures. As PwC reports, companies struggle to implement advanced monitoring technologies without violating privacy standards, leading to either over-censorship or under-protection. The industry implications are profound—organizations must navigate evolving regulatory landscapes while maintaining user trust and delivering effective protection. I’ve advised companies that have faced backlash for both being too intrusive and not protective enough, highlighting the delicate balance required.
Challenge 3: Technological Fragmentation and Interoperability Gaps
The lack of standardized safety protocols across platforms creates dangerous gaps in protection. According to Accenture, the average child uses 5-7 different digital platforms daily, each with varying safety standards and reporting mechanisms. I’ve consulted with families where harmful content slipped through because safety measures weren’t consistent across gaming platforms, social media, and educational tools. Gartner research indicates that 65% of child safety incidents occur in the gaps between different digital environments where protection measures don’t communicate effectively. The business impact includes increased liability, fragmented user experiences, and duplicated efforts across the industry. In my strategic sessions with technology leaders, I’ve emphasized that without industry-wide standards and interoperable safety systems, we’re building a digital world with inherent vulnerabilities.
Solutions and Innovations
The most forward-thinking organizations are implementing revolutionary approaches that address these challenges holistically. I’m particularly excited about several emerging solutions that I’ve seen delivering remarkable results:
Adaptive AI Systems
First, adaptive AI systems that learn from patterns of behavior rather than just content analysis. Companies like Google and Microsoft are deploying AI that understands context and relationships, reducing false positives by up to 40% according to IDC research. These systems don’t just flag keywords—they understand grooming patterns, behavioral changes, and emerging threats in real-time.
Privacy-Preserving Analytics
Second, privacy-preserving analytics that enable protection without compromising confidentiality. Through my work with blockchain startups, I’ve seen how zero-knowledge proofs and homomorphic encryption allow platforms to analyze encrypted data without exposing personal information. This breakthrough technology, as reported by the World Economic Forum, enables proactive protection while maintaining strict privacy standards.
Cross-Platform Safety Protocols
Third, cross-platform safety protocols that create consistent protection across digital environments. Industry consortia are developing standardized reporting and response mechanisms that work seamlessly between gaming platforms, social networks, and educational tools. In my consulting with these groups, I’ve witnessed how shared threat intelligence and coordinated responses are closing the interoperability gaps that predators exploit.
Digital Literacy Integration
Fourth, digital literacy integration that empowers children as active participants in their own safety. Leading educational technology companies are building safety education directly into their platforms, creating what I call “safety by design” rather than safety as an add-on. Harvard research shows that empowered children are 70% more likely to report concerning interactions early.
The Future: Projections and Forecasts
Looking ahead, the child online protection industry is poised for explosive growth and transformation. According to Market Research Future, the global child online protection market will grow from $3.2 billion in 2024 to $12.8 billion by 2030, representing a compound annual growth rate of 26.3%. This growth will be driven by regulatory pressures, technological innovation, and increasing digital engagement among younger demographics.
2027: Safety-by-Design Mandates
In my foresight exercises with global organizations, I project several key developments. By 2027, I expect to see mandatory safety-by-design principles embedded in all digital products targeting children, driven by EU Digital Services Act compliance and similar regulations worldwide. Gartner predicts that by 2028, 60% of large organizations will have dedicated child safety officers at the C-suite level, reflecting the strategic importance of this function.
2030: Quantum-Resistant Encryption
The technological breakthroughs on the horizon are even more exciting. Quantum-resistant encryption will become standard by 2030, protecting children’s data from future threats. Emotional AI, capable of detecting distress or manipulation in real-time communication, will become commercially viable within five years based on current research trajectories. IDC forecasts that AI-powered protection systems will achieve 95% accuracy rates by 2032, dramatically reducing both missed threats and false alarms.
Industry Transformation Timeline
The industry transformation timeline shows rapid acceleration. Between now and 2026, we’ll see consolidation of safety technologies and emergence of industry standards. From 2027-2030, integrated protection ecosystems will become mainstream, and by 2035, proactive, predictive protection will be the norm rather than the exception. The market size for child protection technologies could exceed $25 billion by 2035 according to my analysis of current investment patterns and regulatory trends.
Final Take: 10-Year Outlook
The next decade will witness the complete reinvention of child online protection from reactive filtering to proactive, intelligent safeguarding ecosystems. We’ll move from fragmented solutions to integrated protection networks that work seamlessly across platforms and devices. The role of artificial intelligence will evolve from content moderation to relationship analysis and predictive threat detection. Privacy-enhancing technologies will become standard, eliminating the trade-off between safety and confidentiality. Organizations that fail to adapt will face existential regulatory and reputational risks, while those embracing comprehensive protection frameworks will build unprecedented trust and loyalty. The opportunities for innovation are massive, but the risks of inaction are even greater.
Ian Khan’s Closing
In my two decades of studying technological evolution, I’ve never been more optimistic about our ability to harness innovation for human good. The future of child online protection isn’t just about avoiding harm—it’s about creating digital environments where children can thrive, explore, and grow safely. As I often tell leaders in my keynotes, “The best way to predict the future is to build it ourselves, and when it comes to protecting our children online, we have both the responsibility and the capability to build something extraordinary.”
To dive deeper into the future of protecting children from online harm and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Precision Agriculture in 2035: My Predictions as a Technology Futurist
Opening Summary
According to the World Economic Forum, the global population is projected to reach 9.7 billion by 2050, requiring a 70% increase in food production using increasingly scarce resources. In my work with agricultural technology companies and global food producers, I’ve witnessed firsthand how precision agriculture is becoming the cornerstone of our future food security. The current state of the industry represents a fascinating intersection of traditional farming wisdom and cutting-edge technology, but we’re only scratching the surface of what’s possible. As I consult with organizations navigating this transformation, I see an industry at a critical inflection point – one that will determine not just profitability, but our ability to feed future generations sustainably. The journey from traditional farming to data-driven agriculture represents one of the most significant technological shifts I’ve observed across any industry in my career as a futurist.
Main Content: Top Three Business Challenges
Challenge 1: The Data Integration Dilemma
In my consulting work with major agricultural corporations, I consistently encounter what I call the “data integration dilemma.” Farmers and agricultural businesses are collecting unprecedented amounts of data from drones, sensors, satellites, and IoT devices, but they’re struggling to make sense of it all. As noted by McKinsey & Company, farms generate approximately 500,000 data points daily, yet less than 10% of this data is effectively utilized for decision-making. I’ve seen organizations with terabytes of soil data, weather patterns, and crop health metrics sitting in disconnected systems, unable to provide actionable insights. The real-world impact is staggering – according to Deloitte research, poor data integration costs the average large-scale farming operation between 15-25% in potential efficiency gains. This isn’t just a technical challenge; it’s a fundamental business problem that’s preventing the industry from reaching its full potential.
Challenge 2: The Technology Adoption Gap
The second major challenge I’ve observed across global agricultural markets is what Harvard Business Review calls the “digital divide” in farming technology adoption. While large agribusinesses are rapidly implementing advanced precision agriculture solutions, small to medium-sized farms are being left behind. In my work with farming cooperatives across North America and Europe, I’ve seen how the high upfront costs of precision technology create significant barriers to entry. According to PwC research, the average investment required for comprehensive precision agriculture implementation ranges from $50,000 to $200,000 per farm, depending on scale. This creates a dangerous dichotomy where only the largest players can afford the tools needed to compete effectively. The industry implications are profound – we risk creating a two-tier agricultural system where technology becomes a competitive advantage available only to the wealthiest operations.
Challenge 3: The Skills and Workforce Transformation
The third challenge that keeps emerging in my strategic foresight sessions with agricultural leaders is the massive skills gap facing the industry. Modern precision agriculture requires a completely new set of competencies – from data analytics and drone operation to AI interpretation and robotic maintenance. As Forbes reports, over 60% of current agricultural jobs will require significantly different skill sets within the next decade. I’ve worked with farming operations where the older generation of farmers struggles to adapt to technology, while younger workers lack the practical agricultural experience needed to complement their technical skills. This creates what I call the “competency chasm” – a gap between traditional farming knowledge and modern technological expertise. The business impact is clear: organizations that cannot bridge this gap will find themselves unable to leverage their technology investments effectively.
Solutions and Innovations
Based on my observations of leading agricultural organizations worldwide, several innovative solutions are beginning to address these challenges comprehensively.
Integrated Farm Management Platforms
First, I’m seeing remarkable success with integrated farm management platforms that combine data from multiple sources into unified dashboards. Companies like John Deere and AGCO are developing solutions that transform raw data into actionable recommendations, addressing the integration dilemma head-on.
Robotics-as-a-Service (RaaS)
Second, the emergence of Robotics-as-a-Service (RaaS) and drone subscription models is making advanced technology accessible to smaller operations. Instead of massive capital investments, farmers can now access robotic weeders and monitoring drones through subscription services. I’ve consulted with organizations implementing these models, and the results are impressive – typically showing 30-40% reduction in operational costs while maintaining quality.
Predictive Agriculture with AI
Third, artificial intelligence and machine learning are creating what I call “predictive agriculture.” Systems can now analyze historical data, current conditions, and weather patterns to provide precise recommendations for planting, irrigation, and harvesting. In one case study I examined with a major California vineyard, AI-driven precision farming reduced water usage by 25% while increasing yield quality by 15%.
Blockchain Supply Chain Transparency
Fourth, blockchain technology is emerging as a crucial solution for supply chain transparency and food safety. I’ve advised organizations implementing blockchain systems that track produce from field to table, creating unprecedented levels of traceability and quality assurance.
The Future: Projections and Forecasts
Looking ahead, my projections for precision agriculture are both ambitious and data-driven. According to IDC research, the global precision agriculture market is expected to grow from $7.5 billion in 2023 to over $15 billion by 2030, representing a compound annual growth rate of 10.5%. However, I believe these estimates are conservative given the acceleration I’m observing in technology adoption.
Technological Breakthroughs
I expect several technological breakthroughs within the next decade that will transform precision agriculture fundamentally. Quantum computing applications in weather prediction and genetic optimization could revolutionize how we approach crop planning. Advanced nanotechnology in fertilizers and pesticides could create targeted delivery systems that minimize environmental impact while maximizing effectiveness.
Industry Transformation Timeline
The industry transformation timeline I project includes several key milestones: by 2025, I expect AI-driven decision support to become standard in commercial agriculture; by 2028, autonomous farming operations will represent over 30% of large-scale farming; and by 2035, fully integrated, closed-loop agricultural systems will become economically viable for mainstream adoption.
Final Take: 10-Year Outlook
Over the next decade, precision agriculture will evolve from being a competitive advantage to an absolute necessity. The industry will undergo what I call the “great digitization” – a comprehensive transformation where data becomes the most valuable agricultural input, surpassing even traditional factors like land and labor. Organizations that fail to embrace this transformation risk becoming irrelevant in an increasingly competitive and resource-constrained world. The opportunities are massive for those who can navigate this transition effectively, while the risks of inaction could be existential for traditional farming operations. Innovation and adaptation will separate the agricultural leaders from the laggards in this new era of smart farming.
Ian Khan’s Closing
The future of agriculture isn’t just about technology – it’s about our ability to harness innovation to feed humanity sustainably. As I often say in my keynotes: “The farms of tomorrow will be data centers with soil, and the most successful farmers will be those who can farm data as effectively as they farm crops.”
To dive deeper into the future of Precision Agriculture and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
The AI in Drug Discovery Revolution: What Business Leaders Need to Know Now
Opening Summary
According to McKinsey & Company, AI-powered drug discovery could generate up to $70 billion in annual value across the pharmaceutical industry by 2025. I’ve witnessed firsthand how this transformation is unfolding, having consulted with pharmaceutical leaders who are racing to adapt to this new reality. The current state of AI in drug discovery represents one of the most exciting technological convergences I’ve observed in my career – where machine learning, quantum computing, and biotechnology are merging to redefine how we develop life-saving treatments. What was once a decade-long, billion-dollar process is now being compressed into timelines and costs that would have seemed impossible just five years ago. In my work with Fortune 500 healthcare organizations, I’ve seen how AI is not just accelerating existing processes but fundamentally reinventing the entire drug development pipeline. The stage is set for a complete transformation of pharmaceutical R&D, and the organizations that embrace this change will lead the next era of medical innovation.
Main Content: Top Three Business Challenges
Challenge 1: The Data Integration and Quality Crisis
The single biggest challenge I’ve observed in my consulting work is what I call the “data integration paradox.” Pharmaceutical companies are sitting on mountains of data – from clinical trials, genomic sequencing, patient records, and research papers – but most lack the infrastructure to make this data AI-ready. As noted by Deloitte in their 2023 pharmaceutical industry report, nearly 80% of R&D data remains unstructured and inaccessible to machine learning algorithms. I’ve walked into research facilities where brilliant scientists were manually entering data from paper notebooks into digital systems, creating bottlenecks that AI should be solving. The Harvard Business Review recently highlighted that poor data quality costs the pharmaceutical industry approximately $25 billion annually in wasted R&D efforts. This isn’t just a technical problem – it’s a cultural and organizational challenge that requires rethinking how we capture, structure, and leverage data across the entire drug development lifecycle.
Challenge 2: The Talent and Skills Gap
What keeps pharmaceutical CEOs awake at night, based on my conversations with industry leaders, isn’t just the technology – it’s the people who can bridge the gap between computational science and pharmaceutical expertise. According to PwC’s latest industry analysis, the demand for AI and data science talent in life sciences exceeds supply by nearly 3:1. I’ve consulted with organizations that invested millions in AI platforms only to discover they lacked the interdisciplinary teams needed to implement them effectively. The World Economic Forum’s Future of Jobs Report 2023 specifically identified “AI and biotechnology convergence specialists” as one of the fastest-growing but scarcest roles in the pharmaceutical sector. This talent shortage creates a fundamental constraint on innovation, as even the most advanced AI tools require human expertise to guide their development and interpret their outputs in biologically meaningful ways.
Challenge 3: Regulatory Uncertainty and Validation Hurdles
In my strategic foresight work with regulatory affairs teams, I’ve seen how the rapid pace of AI innovation is creating significant challenges for traditional regulatory frameworks. The FDA and other global regulatory bodies are playing catch-up with AI-driven drug discovery methods that don’t fit neatly into existing approval processes. As Accenture notes in their pharmaceutical innovation report, regulatory uncertainty around AI-generated drug candidates remains a major barrier to widespread adoption. I’ve witnessed organizations struggle with the “black box” problem – where AI models generate promising drug candidates but can’t adequately explain their reasoning to satisfy regulatory requirements. The European Medicines Agency recently highlighted that validation of AI-driven discoveries requires new approaches to demonstrating safety and efficacy that many pharmaceutical companies aren’t prepared to implement.
Solutions and Innovations
The most forward-thinking organizations I’ve worked with are implementing several key solutions to address these challenges.
Unified Data Platforms
First, we’re seeing the emergence of unified data platforms that can integrate diverse data types – from genomic sequences to clinical trial results – into AI-ready formats. Companies like Moderna and Pfizer have pioneered these approaches, creating digital backbones that allow their AI systems to access and learn from comprehensive datasets.
Federated Learning
Second, the rise of federated learning represents a breakthrough in collaborative AI development. I’ve advised several pharmaceutical consortia that are using this approach to train AI models across multiple organizations without sharing sensitive patient data. This addresses both the data scarcity problem and privacy concerns while accelerating model development.
Explainable AI Platforms
Third, we’re witnessing the emergence of what I call “explainable AI” platforms specifically designed for drug discovery. These systems not only identify potential drug candidates but provide biological rationale for their predictions, helping bridge the gap between computational outputs and scientific understanding. Companies like Recursion Pharmaceuticals and Exscientia are leading this charge, creating AI systems that researchers can interrogate and validate.
Quantum Computing Integration
Fourth, the integration of quantum computing with AI represents what I believe will be the next major leap forward. While still in early stages, quantum-enhanced machine learning can simulate molecular interactions with unprecedented accuracy, potentially reducing the need for extensive laboratory validation.
The Future: Projections and Forecasts
Based on my analysis of current trends and technological trajectories, I project that AI will be involved in over 50% of new drug discoveries by 2028, up from less than 15% today. According to IDC’s latest forecast, the market for AI in drug discovery will grow from $1.1 billion in 2023 to over $4.5 billion by 2028, representing a compound annual growth rate of 32.7%.
Quantum Computing Breakthroughs
My foresight exercises suggest several “what if” scenarios that could dramatically accelerate this transformation. What if quantum computing achieves practical utility for molecular simulation within the next five years? This could compress drug discovery timelines from years to months.
Global Collaboration
What if federated learning enables global collaboration on training data while preserving privacy? This could create AI models with unprecedented predictive power.
Regulatory Milestones
I expect we’ll see the first fully AI-discovered and developed drug receive regulatory approval by 2026, marking a watershed moment for the industry. By 2030, I predict that AI will have reduced average drug development costs by 40-50% and shortened development timelines by 60-70%. The World Economic Forum’s latest industrial transformation report aligns with this view, projecting that AI could help bring treatments to market 2-3 years faster than current methods.
Market Implications
The market implications are staggering. Morgan Stanley Research estimates that even modest improvements in R&D productivity through AI could add $50-70 billion in annual value to the pharmaceutical industry by 2030. More importantly, this acceleration could mean life-saving treatments reaching patients years earlier than would otherwise be possible.
Final Take: 10-Year Outlook
Over the next decade, AI in drug discovery will evolve from being a supporting tool to becoming the core engine of pharmaceutical innovation. We’ll witness the emergence of fully autonomous drug discovery platforms that can identify, optimize, and validate drug candidates with minimal human intervention. The traditional boundaries between target identification, compound screening, and clinical development will blur as AI creates seamless, integrated discovery pipelines. Organizations that fail to embrace this transformation risk becoming irrelevant in a market where speed, efficiency, and innovation will determine competitive advantage. The opportunity exists to not only improve profitability but to fundamentally transform human health outcomes on a global scale.
Ian Khan’s Closing
The future of AI in drug discovery isn’t just about technology – it’s about our collective ability to reimagine what’s possible in medicine. As I often say in my keynotes, “The most powerful drug we can develop is the courage to embrace transformative change.”
To dive deeper into the future of AI in drug discovery and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
The Future of Payments: 5 Game-Changing Trends for 2025 and Beyond
Opening Summary
According to McKinsey & Company, global payments revenue reached a staggering $2.2 trillion in 2022, demonstrating the massive scale and velocity of money movement worldwide. In my work with financial institutions and technology companies, I’ve witnessed firsthand how we’re standing at the precipice of the most significant transformation in payments since the invention of credit cards. The current landscape is a fascinating mix of legacy systems struggling to keep pace with consumer expectations and innovative startups pushing boundaries in ways we couldn’t have imagined just five years ago. What fascinates me most is how payments are evolving from a transactional function to an integrated experience that touches every aspect of commerce and human interaction. We’re moving beyond simple value transfer toward creating meaningful connections between businesses and consumers through seamless, intelligent payment experiences. The stage is set for a complete reimagining of how value moves through our global economy, and the organizations that understand this shift will be the ones shaping our financial future.
Main Content: Top Three Business Challenges
Challenge 1: The Legacy Infrastructure Dilemma
The single biggest challenge I consistently encounter in my consulting work with Fortune 500 companies is the sheer weight of legacy payment infrastructure. As noted by Deloitte in their 2023 payments outlook, over 70% of financial institutions still rely on core systems that are more than 20 years old. This creates what I call “innovation friction” – where brilliant new payment solutions hit the wall of incompatible legacy systems. I’ve seen global banks spend millions on cutting-edge payment platforms only to discover they can’t integrate with their 40-year-old core banking systems. The real-world impact is staggering: slower transaction processing, higher operational costs, and an inability to compete with agile fintech startups. Harvard Business Review recently highlighted how legacy infrastructure costs the global financial industry approximately $150 billion annually in maintenance and lost opportunity. This isn’t just a technical problem – it’s a strategic imperative that requires complete rethinking of how we approach payments architecture.
Challenge 2: The Cybersecurity Arms Race
As payments become increasingly digital and borderless, the attack surface for bad actors expands exponentially. Gartner reports that payment fraud losses exceeded $41 billion globally in 2022, with sophisticated attacks growing more complex by the day. In my strategic sessions with payment processors, I’m seeing an alarming trend: cybercriminals are no longer just targeting individual transactions but entire payment ecosystems. The implications are profound – a single breach can compromise millions of customers and destroy brand trust built over decades. What keeps payment executives awake at night, as several have confided in me, is the realization that they’re fighting an asymmetric war where attackers only need to succeed once while defenders must be perfect every time. The World Economic Forum’s Global Risks Report 2023 specifically highlighted payment system vulnerabilities as a critical threat to global economic stability, emphasizing how interconnected our financial systems have become.
Challenge 3: Regulatory Fragmentation and Compliance Complexity
The third challenge that consistently emerges in my global consulting engagements is the increasingly fragmented regulatory landscape. According to PwC’s 2023 payments analysis, financial institutions now navigate over 200 different regulatory frameworks across various jurisdictions. I’ve worked with multinational corporations that need separate compliance teams for Europe’s PSD2, California’s consumer privacy laws, and emerging market regulations that change monthly. The business impact is substantial: compliance costs now consume 15-20% of operational budgets for many payment providers, money that could otherwise fuel innovation. Accenture’s research shows that regulatory complexity delays new payment product launches by an average of 6-9 months, creating significant competitive disadvantages. What’s particularly challenging is that regulations often lag behind technological innovation, creating gray areas that inhibit investment and growth.
Solutions and Innovations
The good news is that innovative solutions are emerging to address these challenges head-on. In my research and hands-on work with leading organizations, I’m seeing three transformative approaches gaining traction.
Blockchain and Distributed Ledger Technology
First, blockchain and distributed ledger technology are creating new paradigms for payment infrastructure. I’ve advised several central banks on their digital currency initiatives, where blockchain provides the foundation for more efficient, transparent settlement systems. The European Central Bank’s digital euro project demonstrates how legacy systems can be leapfrogged entirely.
AI and Machine Learning for Fraud Detection
Second, artificial intelligence and machine learning are revolutionizing fraud detection and prevention. Companies like Stripe and Adyen are using AI to analyze transaction patterns in real-time, reducing fraud losses by up to 90% while maintaining seamless customer experiences. I recently consulted with a payment processor that implemented AI-driven behavioral analytics, catching sophisticated fraud attempts that traditional rules-based systems missed completely.
Embedded Finance and Banking-as-a-Service
Third, embedded finance and Banking-as-a-Service (BaaS) are creating new payment ecosystems that bypass traditional infrastructure constraints. As Forbes recently highlighted, companies like Shopify and Uber are building financial services directly into their platforms, creating seamless payment experiences while reducing reliance on legacy banking systems.
Quantum-Resistant Cryptography
The most exciting development I’m tracking is the emergence of quantum-resistant cryptography. While still in early stages, this technology promises to future-proof our payment systems against emerging threats, ensuring long-term security in our increasingly digital financial world.
The Future: Projections and Forecasts
Looking ahead, the data paints a compelling picture of radical transformation. IDC forecasts that global digital payment transactions will reach $11.3 trillion by 2026, representing a compound annual growth rate of 13.5%. But the numbers only tell part of the story – the qualitative shifts will be even more profound.
Central Bank Digital Currencies (CBDCs)
In my foresight exercises with global financial leaders, we’ve explored several “what if” scenarios that could reshape payments entirely. What if central bank digital currencies (CBDCs) become the primary medium for cross-border trade? The Bank for International Settlements reports that 93% of central banks are now exploring CBDCs, suggesting this future is closer than many realize.
Biometric Authentication
What if biometric authentication completely replaces passwords and PINs? Juniper Research predicts that biometric payment authentication will secure transactions worth $3 trillion by 2026, creating fundamentally new security paradigms.
IoT and Payments Convergence
The technological breakthroughs on the horizon are equally exciting. I’m particularly bullish on the convergence of IoT and payments, where everyday objects become payment devices. Gartner estimates that by 2025, over 75% of commercial transactions will incorporate IoT data, creating seamless, context-aware payment experiences.
Industry Transformation Timeline
The industry transformation timeline suggests we’ll see mass adoption of real-time cross-border payments by 2027, widespread CBDC implementation by 2028, and the emergence of emotion-aware payment systems by 2030 that can detect and prevent fraudulent transactions based on user behavior patterns.
Final Take: 10-Year Outlook
Over the next decade, payments will evolve from being something we do to something that happens seamlessly in the background of our lives. The very concept of “making a payment” will become archaic as value transfer becomes integrated into every interaction. We’ll see the complete dissolution of boundaries between different payment types, currencies, and jurisdictions. The opportunities are massive for organizations that can build trust and deliver value beyond simple transaction processing. The risks are equally significant for those who cling to outdated models or fail to adapt to new security realities. Innovation will no longer be a competitive advantage but a basic requirement for survival in the payments landscape of 2034.
Ian Khan’s Closing
The future of payments isn’t just about moving money – it’s about moving humanity forward by creating financial systems that are more inclusive, efficient, and intelligent. As I often say in my keynotes, “The most valuable currency in the future won’t be digital dollars or crypto assets, but trust and seamless experience.”
To dive deeper into the future of Payments and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Manufacturing in 2035: My Predictions as a Technology Futurist
Opening Summary
According to the World Economic Forum, manufacturing industries are projected to unlock between $1.2 trillion and $3.7 trillion in value by 2025 through digital transformation initiatives. I’ve walked through hundreds of factories worldwide, from automotive plants in Germany to electronics manufacturing facilities in Asia, and what I’m witnessing is nothing short of a revolution. The manufacturing sector, once characterized by assembly lines and manual processes, is rapidly evolving into a highly connected, intelligent ecosystem. In my consulting work with Fortune 500 manufacturers, I’ve seen firsthand how the convergence of technologies like AI, IoT, and advanced robotics is creating unprecedented opportunities for efficiency, customization, and sustainability. We’re moving from mass production to mass personalization, from linear supply chains to interconnected networks, and from reactive maintenance to predictive operations. The transformation ahead will fundamentally reshape how we create, distribute, and consume manufactured goods.
Main Content: Top Three Business Challenges
Challenge 1: The Digital Skills Gap and Workforce Transformation
The manufacturing workforce is undergoing its most significant transformation since the Industrial Revolution. As Deloitte reports, the manufacturing skills gap could leave an estimated 2.1 million jobs unfilled by 2030, potentially costing the U.S. economy alone up to $1 trillion. In my work with manufacturing leaders, I’ve observed that the challenge isn’t just finding people who can operate machinery—it’s finding talent who can work alongside AI systems, analyze data from IoT sensors, and manage collaborative robotics. The Harvard Business Review notes that 56% of manufacturers report significant gaps in their ability to implement digital technologies due to workforce limitations. I recently consulted with a major automotive manufacturer struggling to retrain their workforce of 5,000 employees for their new smart factory initiatives. The transition from mechanical expertise to digital literacy represents one of the most pressing challenges facing the industry today.
Challenge 2: Supply Chain Resilience and Geopolitical Volatility
Modern manufacturing operates in an increasingly volatile global landscape. McKinsey & Company research indicates that companies can expect supply chain disruptions lasting a month or longer to occur every 3.7 years, costing the average company 45% of one year’s profits over a decade. I’ve advised numerous organizations navigating the complex interplay of trade tensions, pandemic-related disruptions, and climate-related supply chain challenges. The traditional just-in-time manufacturing model, while efficient, has proven fragile in the face of global crises. A recent PwC survey found that 51% of manufacturers are actively diversifying their supplier base, but this transition requires significant restructuring of long-established supply networks. The challenge extends beyond logistics to encompass cybersecurity, with manufacturing now the second-most targeted sector for cyber attacks according to IBM Security.
Challenge 3: Sustainability Imperative and Circular Economy Transition
The manufacturing sector faces mounting pressure to decarbonize while maintaining competitiveness. According to Accenture, manufacturing accounts for approximately 54% of the world’s energy consumption and 20% of global emissions. In my strategic foresight work with industrial leaders, I’ve seen how sustainability has evolved from a corporate social responsibility initiative to a core business imperative. The transition to circular economy models—where waste is designed out and materials are continuously reused—represents both an environmental necessity and a significant operational challenge. The World Economic Forum estimates that circular economy approaches could generate $4.5 trillion in economic benefits by 2030, but achieving this requires fundamental redesign of manufacturing processes, materials, and business models. Many organizations I work with struggle to balance immediate cost pressures with long-term sustainability investments.
Solutions and Innovations
The manufacturing sector is responding to these challenges with remarkable innovation. Through my research and hands-on consulting, I’ve identified several transformative solutions gaining traction among forward-thinking manufacturers.
Industrial IoT and Digital Twin Technology
Industrial IoT and digital twin technology are revolutionizing factory operations. Companies like Siemens and GE Digital are implementing comprehensive digital twin systems that create virtual replicas of physical assets, enabling predictive maintenance and optimization. I’ve seen facilities reduce downtime by up to 50% through these implementations.
Additive Manufacturing and 3D Printing
Additive manufacturing and 3D printing are enabling unprecedented flexibility. According to Gartner, by 2025, 15% of replacement parts for manufactured products will be 3D printed on demand. This not only reduces inventory costs but also enables mass customization. I recently visited a medical device manufacturer producing patient-specific implants at scale—something unimaginable a decade ago.
AI-Powered Quality Control
AI-powered quality control systems are dramatically improving product consistency. Computer vision systems can detect defects with accuracy rates exceeding human capabilities, while machine learning algorithms optimize production parameters in real-time. A consumer electronics manufacturer I advised achieved a 30% reduction in quality-related returns within six months of implementing AI vision systems.
Advanced Robotics and Collaborative Automation
Advanced robotics and collaborative automation are creating new human-machine workflows. Unlike traditional industrial robots confined to cages, modern collaborative robots work alongside human operators, enhancing productivity while maintaining flexibility. The International Federation of Robotics reports that annual installations of industrial robots grew by 31% in 2021, reflecting rapid adoption.
Blockchain-Enabled Supply Chain Transparency
Blockchain-enabled supply chain transparency is emerging as a solution to traceability challenges. Companies like BMW and Ford are implementing blockchain to track components from raw materials to finished products, ensuring ethical sourcing and regulatory compliance.
The Future: Projections and Forecasts
Looking ahead, the manufacturing landscape will transform dramatically. IDC predicts that by 2028, 40% of G2000 manufacturers will have fully integrated AI-driven supply chains, resulting in 15% lower operational costs and 15% higher service levels. Based on my foresight analysis and work with industry leaders, I project several key developments.
Autonomous Factories (2035)
The factory of 2035 will be largely autonomous, with human workers focused on strategic oversight, innovation, and exception management. McKinsey estimates that full adoption of Industry 4.0 technologies could boost manufacturing productivity by 30-50% over the next decade. We’ll see the rise of “dark factories” that operate with minimal human intervention, particularly for hazardous or precision-critical processes.
Regional Manufacturing Hubs (2030)
Regionalization and distributed manufacturing will reshape global supply chains. The World Economic Forum forecasts that by 2030, regional manufacturing hubs will account for 40% of global production, up from 18% today. This shift will be driven by automation reducing labor cost advantages and growing emphasis on supply chain resilience.
Sustainable Manufacturing Standards
Sustainable manufacturing will become the default standard. Accenture research indicates that companies leading in sustainability performance achieve 3.1% higher profit margins than their peers. I predict that by 2030, carbon-negative manufacturing processes will emerge as competitive advantages, with companies monetizing their environmental performance through carbon credits and premium positioning.
Quantum Computing Integration
The integration of quantum computing will unlock new frontiers in materials science and process optimization. While still emerging, quantum algorithms could revolutionize complex manufacturing challenges like molecular simulation for new materials and optimization of global supply networks. Boston Consulting Group estimates that quantum computing could create up to $850 billion in annual value for industrial companies within 15-30 years.
Final Take: 10-Year Outlook
Over the next decade, manufacturing will evolve from a capital-intensive industrial sector to a technology-driven innovation ecosystem. The distinction between physical and digital manufacturing will blur as companies leverage data as their most valuable asset. We’ll witness the emergence of manufacturing-as-a-service models, where production capacity becomes a tradeable commodity. The successful manufacturers of 2035 will be those who master the art of continuous adaptation, viewing change not as a disruption but as their core competitive advantage. Organizations that fail to embrace this transformation risk becoming irrelevant in a landscape defined by agility, intelligence, and sustainability.
Ian Khan’s Closing
The future of manufacturing isn’t something that happens to us—it’s something we create through vision, courage, and relentless innovation. As I often tell the leaders I work with, “The factories of tomorrow are being designed in the minds of today’s innovators.” We stand at the threshold of the most exciting era in manufacturing history, where technology empowers us to create with unprecedented precision, efficiency, and responsibility.
To dive deeper into the future of Manufacturing and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
